Python tools for Computational Petrophysics
Version 1.2.1d
RockVerse is an open-source Python library designed to support high-performance computational petrophysics workflows. It is tailored for researchers and professionals working in digital rock petrophysics, formation evaluation, well logging, and laboratory data analysis.
Built to handle large-scale simulations and memory-intensive data processing, RockVerse leverages state-of-the-art tools to deliver optimized performance across CPU and GPU parallel computational environments.
This library is part of an ongoing post-doctoral research project under active development. We welcome contributions, bug reports, and feature suggestions. Check back regularly for updates, tutorials, and new features. If you want to stay informed, consider joining our mailing list.
Key Features
High-Performance Parallel Computing
Optimized for HPC environments, RockVerse enables scalable, distributed parallel processing through MPI (Message Passing Interface). Fully compatible with CPU and GPU architectures for efficient large-scale computations.
Digital Rock Petrophysics
Efficiently analyze 3D digital rock images using memory-efficient Digital Rock workflows. Supports larger than memory datasets.
Well Logging and Laboratory Data
Process and analyze well log and laboratory data, supporting a wide variety of formats and offering streamlined workflows for petrophysical analysis.
Getting Started
Follow installation instructions and basic tutorials to get RockVerse up and running.
Explore tutorials with Jupyter notebooks showcasing RockVerse workflows.
Explore our tutorials rearranged as a sample gallery.
API references for in-depth understanding of library capabilities.
If you encounter issues or have questions, here are the ways to get support.
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